Calculating dim light melatonin onset in children: A comparison of four estimation methods

Rebecca C Cox1, Isabella M Sagman2, Lauren E Hartstein3,4

  • 1Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.

Chronobiology International
|February 23, 2026
PubMed

Insights

This study found that fixed thresholds (3 and 4 pg/ml) and the "hockey stick" method reliably estimate dim light melatonin onset (DLMO) in children. The 2 SD method is less consistent but useful for high melatonin secretors.

Area of Science:

  • Chronobiology
  • Pediatric Sleep Medicine
  • Biomarker Research

Background:

  • Dim light melatonin onset (DLMO) is a key circadian phase marker.
  • Accurate DLMO estimation is crucial for pediatric sleep research.
  • Previous studies have not compared DLMO estimation methods in children.

Purpose of the Study:

  • To compare the agreement of four different methods for estimating salivary DLMO in a pediatric population.
  • To identify the most reliable methods for DLMO assessment in young children.

Main Methods:

  • Salivary DLMO was calculated using four methods: fixed thresholds (3 pg/ml, 4 pg/ml) and individual thresholds (2 SD above baseline, "hockey stick").
  • Data were collected from 49 children (mean age 4.40 years).
  • Intraclass correlations and pairwise correlations were used to assess agreement and relationships with sleep timing.

Main Results:

  • All four methods showed significant intraclass correlations (p < 0.001).
  • Strongest agreement was found between the 3 pg/ml, 4 pg/ml, and "hockey stick" methods.
  • DLMO estimates from all methods positively correlated with sleep timing (p < 0.001).
  • The 2 SD method showed more discrepancy but provided a plausible estimate in a high melatonin secretor.

Conclusions:

  • The 3 pg/ml, 4 pg/ml, and "hockey stick" methods offer reliable DLMO estimates in young children.
  • The 2 SD method may be valuable for estimating DLMO in children with atypical melatonin secretion patterns.
  • Findings support the use of specific methods for accurate circadian phase assessment in pediatric populations.